Application of “Big Data + Education” in the Construction of Curriculum Content System

2021 ◽  
pp. 523-532
Author(s):  
Xinyu Fu
Keyword(s):  
Big Data ◽  
Curriculum Content ◽  
Content System

Construction and Practice of the College Course System of Self-Management

2014 ◽  
Vol 1008-1009 ◽  
pp. 1560-1563
Author(s):  
Xue Qin Zhao
Keyword(s):  
College Students ◽  
System Design ◽  
Self Management ◽  
Actual Situation ◽  
Curriculum Content ◽  
Teaching Objectives ◽  
College Course ◽  
Content System ◽  
Management Curriculum

This paper studies the college opened a public elective "self-managed learning" how to combine the actual situation of the contemporary college students curriculum content system design, including the background of the curriculum, the limitations of the course, the teaching objectives, course contentstructure, curriculum practice link. Keywords: College Students' Self Management; curriculum content system

Find Out About 'Big Data' to Track Outcomes

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  
Big Data

Find Out About 'Big Data' to Track Outcomes

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

“Big Data in Psychology: Methods and Applications”

2017 ◽  
Vol 225 (3) ◽  
pp. 287-288
Keyword(s):  
Big Data

An associated conference will take place at ZPID – Leibniz Institute for Psychology Information in Trier, Germany, on June 7–9, 2018. For further details, see: http://bigdata2018.leibniz-psychology.org

When the Sample Is the Population: Big Data

PsycCRITIQUES ◽  
2014 ◽  
Vol 59 (2) ◽  
Author(s):  
David J. Pittenger
Keyword(s):  
Big Data
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